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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paris, Jehan-Francois Long, Darrell D. E. |
| Copyright Year | 2015 |
| Description | Author affiliation: Department of Computer Science, University of Houston, TX, USA 77204-3010 (Paris, Jehan-Francois) || Department of Computer Science, University of California, Santa Cruz, USA 95064 (Long, Darrell D. E.) |
| Abstract | Raft is a new distributed consensus algorithm that is easier to understand than the older Paxos algorithm. Raft's major drawback is its high energy footprint: as it relies on static quorums for deciding when it can commit updates, it requires five participants to protect against two simultaneous failures. We propose to reduce this footprint by replacing the static quorums that Raft currently uses by quorums that vary according to the number of currently available participants. We present first a modified dynamic-linear voting protocol that disables single-server updates and show that a Raft cluster with four participants managed by this protocol would be almost as available as a conventional Raft cluster with five participants and always tolerate the irrecoverable failure of any single participant without any data loss. In addition, we show a Raft cluster with three participants and a witness managed by an unmodified dynamic-linear voting protocol would be more available than a conventional Raft cluster with five participants and could still tolerate most irrecoverable failures of any single participant while maintaining recoverability. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 293963 |
| Page Count | 8 |
| File Format | |
| ISSN | 23749628 |
| e-ISBN | 9781467385909 |
| DOI | 10.1109/PCCC.2015.7410281 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Servers Nominations and elections Protocols Clustering algorithms Algorithm design and analysis Heuristic algorithms Peer-to-peer computing Raft algorithm Distributed computing Fault-tolerant computing Green computing Distributed consensus |
| Content Type | Text |
| Resource Type | Article |
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